9.00-9.05 Welcome

9.05-9.45 Charles Bouman: Phase Recovery: A Unifying Theme in Computational Imaging

9.45-10.05 Alessandro Mirone: Fast Eikonal Phase Retrieval for High-Throughput Beamlines

10.05-10.20 Johannes Gruen et al: X-Ray Near-Field Holotomography Reconstruction using Implicit Neural Representations

10.20-10.35 Zichao Wendy Di et al: Adaptive Beam Selection for Efficient Micro-Computed Tomography 

Coffee Break

11.00-11.40 Peter Cloetens: Joint Holotomography Solver for Large-Scale Experimental Data Processing

11.40-11.55 Daniel Hernández Durán et al: Optimizing the Iterative Reprojection Phase Retrieval Algorithm via Angle Sampling

11.55-12.10 Haley Duba-Sullivan et al: Regularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction of Neutron Computed Tomography Data

12.10-12.25 Johannes Dora et al: Sparsity-based learning enables absorption contrast of mixed-contrast objects in tomographic X-ray near-field holography 

Lunch

14.00-14.35 Stefano Marchesini: Ptycho-Gramian: the inner products between frames and correlated beam instabilities

14.35-14.55 Nicola Viganò et al: Self-supervised Deep Convolutional Reconstruction for Low-light X-ray Fluorescence Ghost Imaging 

14.55-15.30 Paul Rodriguez: Ptychography reconstruction: Fast optimization methods from a signal processing perspective

Coffee Break

16.00-16.40 Tim Salditt: Phase Retrieval and Tomographic Reconstruction in X-ray Near-field Diffractive Imaging beyond Idealised and Linearised Solutions

16.40-17.00 Pablo Villanueva-Perez: 3D and 4D coherent X-ray imaging reconstruction algorithms using end-to-end AI+Physics

17.00-17.30 Panel discussion: Future needs and perspectives